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The proposed approach in this paper is divided into three steps namely the location of plate, the segmentation of the
characters and the recognition of the characters. The location algorithm is firstly consisted of two video captures to get
high quality images, and estimates the size of vehicle plate in these images via parallel binocular stereo vision algorithm.
Then the segmentation method extracts the edge of vehicle plate based on second generation non-orthogonal Haar
wavelet transformation, and locates the vehicle plate according to the estimated result in the first step. Finally, the
recognition algorithm is realized based on the Radial Basis Function Fuzzy Neural Network. Experiments have been
conducted for real images. The results show this method can decrease the error recognition rate of Chinese license plate
recognition.
Yun Yang,Weigang Zhang, andPan Guo
"Realization for Chinese vehicle license plate recognition based on computer vision and fuzzy neural network", Proc. SPIE 7749, 2010 International Conference on Display and Photonics, 77491G (21 July 2010); https://doi.org/10.1117/12.870244
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Yun Yang, Weigang Zhang, Pan Guo, "Realization for Chinese vehicle license plate recognition based on computer vision and fuzzy neural network," Proc. SPIE 7749, 2010 International Conference on Display and Photonics, 77491G (21 July 2010); https://doi.org/10.1117/12.870244